Currently still in incubation. Vespa is an engine for low-latency computation over large data sets. DeepFaceLab is the leading software for creating deepfakes. 《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning. Segmentation models with pretrained backbones. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。, DeepMind's Tacotron-2 Tensorflow implementation, Speedy Wavenet generation using dynamic programming. Project 4 Deep Learning Posted by Edward-Beck on October 14, 2019. The computer vision field has the potential to overshadow other work in deep learning but I wanted to highlight a few projects outside it. Speech to text is a booming field right now in machine learning. A well tested and comprehensive Golang statistics library package with no dependencies. Python, OpenAI Gym, Tensorflow. Subscribe to our quarterly newsletter and stay up to date on awesome deep learning projects. A collection of research papers on decision, classification and regression trees with implementations. Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019, LSTM and QRNN Language Model Toolkit for PyTorch. ), The "Python Machine Learning (3rd edition)" book code repository. A list of popular github projects related to … Machine Learning Platform and Recommendation Engine built on Kubernetes, ChainerCV: a Library for Deep Learning in Computer Vision, Building blocks for NLP and Text Generation in TensorFlow 2.x / 1.x. A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型, List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов, Deep Learning Porn Video Classifier/Editor with Caffe, Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）, Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image", Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks. Keras. CakeChat: Emotional Generative Dialog System, PyTorch Implementation of Fully Convolutional Networks. Here is collection of all the deep learning projects done my me. I have provided tutorials, guides and resources after each GitHub project. You can build a model that takes an image as input and determines whether the image contains a picture of a dog or a cat. text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network, This repo contains the source code in my personal column (, Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services. 用深度学习对对联。. This project is only for training the model. A TensorFlow Implementation of the Transformer: Attention Is All You Need, 中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！, Label Studio is a multi-type data labeling and annotation tool with standardized output format, A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统. The list of projects will be published soon. In the age old question how does one get rich without having to exert oneself, i turned to the stock market. Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). Image Super-Resolution through deep learning, ECCV18 Workshops - Enhanced SRGAN. pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行. Tutorials on getting started with PyTorch and TorchText for sentiment analysis. This serves as a basic Template for an ARKit project to use CoreML. The most recent version of this article can be found on my blog. Hummingbird compiles trained ML models into tensor computation for faster inference. The Painting AI GitHub repository contains a deep reinforcement learning-based model that teaches machines to paint human-painted pictures by using fewer number of strokes. Project 4 Deep Learning Posted by Edward-Beck on October 14, 2019. Deep-Learning-Gesture-Recognition-IIITB. 1.) Argo Workflows: Get stuff done with Kubernetes. Complete YOLO v3 TensorFlow implementation. Team Projects. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you. It has a comprehensive ecosystem of tools, libraries and community resources that lets researchers create the state-of-the-art in ML. Curated list of Python resources for data science. Play couplet with seq2seq model. All codes are implemented intensorflow 2.0. TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters. Updated weekly. Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn. Automatic colorization using deep neural networks. A list of useful Java frameworks, libraries, software and hello worlds examples, Largest list of models for Core ML (for iOS 11+), Implementation of Graph Convolutional Networks in TensorFlow, Notebooks and code for the book "Introduction to Machine Learning with Python", StarGAN - Official PyTorch Implementation (CVPR 2018), Synthesizing and manipulating 2048x1024 images with conditional GANs, A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutor…, 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶, An adversarial example library for constructing attacks, building defenses, and benchmarking both, Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second, this repository accompanies the book "Grokking Deep Learning", Trax — Deep Learning with Clear Code and Speed. Follow their code on GitHub. Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning, A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial), Source Code for the book: Machine Learning in Action published by Manning, Source Code for the book Building Machine Learning Systems with Python, [python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别, Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost an…. deep neural networks (DNN), have become a key technology in recent years. DIY Deep Learning Projects. This course teaches full-stack production deep learning: Formulating the problem and estimating project cost. Collection of generative models in Pytorch version. Learning Convolutional Neural Networks with Interactive Visualization. A distributed visual search and visual data analytics platform. Udacity Self-Driving Car Engineer Nanodegree projects. Learn Deep Reinforcement Learning in 60 days! Chinese Translation for Machine Learning Infographics, Microsoft Distributed Machine Learning Toolkit. This organization has no public members. Composable GAN framework with api and user interface, TFX is an end-to-end platform for deploying production ML pipelines. At this time, face analysis tasks like detection, alignment and recognition have been done. 21-projects-for-deep-learning has 42 repositories available. Refer to the book for step-by-step explanations. "Colorful Image Colorization." A TensorFlow recommendation algorithm and framework in Python. The deep learning algorithm is able to identify the ACL tear (best seen on the sagittal series) and localize the abnormalities (bottom row) using a heat map which displays increased color intensity where there is most evidence of abnormalities. TensorFlow is an end-to-end open source platform for machine learning designed by Google. What is GitHub? Tutorials. 『ゼロから作る Deep Learning』(O'Reilly Japan, 2016). Keras and TensorFlow Keras. Deep Learning Project Idea – The cats vs dogs is a good project to start as a beginner in deep learning. 深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework. Implement, train, and test new Semantic Segmentation models easily! Face recognition with deep neural networks. 1.) Visuals contains figures and templates which you can reuse and customize to improve your scientific writing. fastNLP: A Modularized and Extensible NLP Framework. Work fast with our official CLI. Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. Learn more. Deep generative models, variational inference. Android TensorFlow MachineLearning Example (Building TensorFlow for Android). Provide an input CSV and a target field to predict, generate a model + code to run it. The agents learn on their own for painting like humans. The complete project on github can be found here. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit. Deep Learning Course Project - Gesture Recognition. If nothing happens, download Xcode and try again. Everything about Transfer Learning and Domain Adaptation--迁移学习, 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。, TensorFlow Neural Machine Translation Tutorial, A faster pytorch implementation of faster r-cnn, Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Inst…, Create HTML profiling reports from pandas DataFrame objects, Deep Residual Learning for Image Recognition, XLNet: Generalized Autoregressive Pretraining for Language Understanding, Facebook AI Research's Automatic Speech Recognition Toolkit, cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理, TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…, Convolutional Neural Network for Text Classification in Tensorflow, A general-purpose encoder-decoder framework for Tensorflow, 超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M, An open source python library for automated feature engineering. PyTorch implementations of Generative Adversarial Networks. Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on. Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet), Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc. Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition. PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》), A Beautiful Open Source RSS & Podcast App Powered by Getstream.io. Scikit-learn . Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search. A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER). ... A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. MLeap: Deploy Spark Pipelines to Production, [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning, Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media. 周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有…, DEPRECATED and not maintained - see official repo at, PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more, My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更…, Uniform Manifold Approximation and Projection, A system for quickly generating training data with weak supervision. Download ZIP File; Download TAR Ball; View On GitHub; Deep Topology Learning (DeToL) Deep Learning, i.e. NCRF++, a Neural Sequence Labeling Toolkit. If nothing happens, download GitHub Desktop and try again. Datasets, Transforms and Models specific to Computer Vision, Natural Language Processing Tutorial for Deep Learning Researchers. Flux is the ML library that doesn't make you tensor, High-performance runtime for data analytics applications. An easy to use PyTorch to TensorRT converter, PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models. The repository contains the deep learning model along with examples of code snippets, data for training, and tests for evaluating the code. Build and manage real-life data science projects with ease. A Complete Guide on Getting Started with Deep Learning in Python. DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. Projects-of-Neural-Network-and-Deep-Learning-DATA130011.01. The combination of Deep Learning and Big Data has revolutionized language and speech technology in the last 5 years, and constitutes the state of the art in domains ranging from machine translation and question-answering to speech recognition and music generation. Generate embeddings from large-scale graph-structured data. Code accompanying the book "Machine Learning for Hackers", Collection of generative models in Tensorflow, This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. End Notes. Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos. Open source tools are increasingly important in the data science workflow. A fast, efficient universal vector embedding utility package. Top Deep Learning Projects in Github 1. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. Scikit-learn leverages the Python scientific computing stack, built on NumPy, SciPy, and matplotlib. Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation). Easy use to any sequence labeling tasks (e.g. The diagram below shows the basic architecture of the Fabric for Deep Learning project. Jump into Top and Best practical machine learning projects in python by individuals on GitHub or add your own resources to these lists. Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. Face recognition with deep neural networks. Write less boilerplate, tensorboard for pytorch (and chainer, mxnet, numpy, ...), Deep universal probabilistic programming with Python and PyTorch, A customisable 3D platform for agent-based AI research, Companion webpage to the book "Mathematics For Machine Learning", Deep Learning and Reinforcement Learning Library for Scientists and Engineers. I started with loading all the libraries and dependencies required. Deep Learning Toolkit for Medical Image Analysis, Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (, Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models, Tutorials and training material for the H2O Machine Learning Platform. An open source framework for seq2seq models in PyTorch. TensorFlow implementation of Deep Reinforcement Learning papers. Keras is a deep learning API, which runs on top of TensorFlow, a popular machine learning platform. This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube, Neural network visualization toolkit for keras, ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator. Easy training on custom dataset. DeepMoji is a deep learning model that can be used for analyzing sentiment, emotion, sarcasm, etc. mean Average Precision - This code evaluates the performance of your neural net for object recognition. A high performance implementation of HDBSCAN clustering. Deezer source separation library including pretrained models. Keras. This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube. Keras version of Realtime Multi-Person Pose Estimation project, The world's simplest facial recognition api for Python and the command line. Use TensorFlow models. Extracts features such as: buildings, parking lots, roads, water, clouds, PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space, Scenarios, tutorials and demos for Autonomous Driving, Sandbox for training convolutional networks for computer vision, Generic U-Net Tensorflow implementation for image segmentation, High-Level Training, Data Augmentation, and Utilities for Pytorch. Support training on your own dataset. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region), Code repo for realtime multi-person pose estimation in CVPR'17 (Oral), Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018), Tensorflow implementation for learning an image-to-image translation without input-output pairs. At a glance. This Tensorflow Github project uses tensorflow to convert speech to text. The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies. Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow. ), The "Python Machine Learning (1st edition)" book code repository and info resource, VIP cheatsheets for Stanford's CS 229 Machine Learning, OpenMMLab Detection Toolbox and Benchmark, JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js, A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…, Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier. Use Git or checkout with SVN using the web URL. Streamlit — The fastest way to build data apps in Python, Decensoring Hentai with Deep Neural Networks, StyleGAN - Official TensorFlow Implementation, 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。. Each project must be accompanied with code to a github repository, and with a 2 page report using a fixed template we will provide. Large-scale linear classification, regression and ranking in Python. Probabilistic reasoning and statistical analysis in TensorFlow. Deep Learning Project Ideas: Beginners Level. Many thanks to him! Scikit-learn . Ask any data scientist, and they’ll point you towards GitHub. Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference. Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP, Training and Detecting Objects with YOLO3, [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy, Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861，公众号：磐创AI，微信群二维码：, Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning), Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet), Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018. Implementation of EfficientNet model. The course project is on Github. Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV. Learned Perceptual Image Patch Similarity (LPIPS) metric. Projects can be made in groups of at most 2 students. TensorFlow powered JavaScript library for training and deploying ML models on Node.js. Complete Project Solution Kit – Get access to the dataset, solution, and supporting reference material, if any , for every deep learning project. Best Practices, code samples, and documentation for Computer Vision. Powered by statistical NLP and open geo data. Started in Hack the Valley 2, 2018. Go to the projects folder and see the readme for detailed instructions about the projects. It has been a truly revolutionary platform in recent years and has changed the landscape of how we host and even do coding. Segmentation models with pretrained backbones. A list of popular github projects related to deep learning. Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks", 阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构, The lightweight PyTorch wrapper for ML researchers. See the wiki for more info. Magenta is a research project exploring the role of machine learning in the process of creating art and music. A machine learning package built for humans. AutoGluon: AutoML Toolkit for Deep Learning, A simplified implemention of Faster R-CNN that replicate performance from origin paper, MITIE: library and tools for information extraction, Minimal and Clean Reinforcement Learning Examples, An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code, A tensorflow implementation of EAST text detector, Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ), Python code for common Machine Learning Algorithms, Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial. Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang. Top Deep Learning Projects in Github 1. Showcase of the best deep learning algorithms and deep learning applications. However, the design of new, problem specific network topologies is still a time and compute intensive process. Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>: 《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods. This is now the official location of the Merlin project. Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchic…. List of Machine Learning, AI, NLP solutions for iOS. Toolkit for Pre-trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具 ）, Photographic Image Synthesis with Cascaded Refinement Networks, License Plate Detection and Recognition in Unconstrained Scenarios. Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. A best practice for tensorflow project template architecture. You signed in with another tab or window. By Matthew Mayo, KDnuggets. Pytorch implementation of our method for high-resolution (e.g. Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology. Pure Go face detection, pupil/eyes localization and facial landmark points detection library, Simple Tensorflow Cookbook for easy-to-use, Simple and comprehensive tutorials in TensorFlow, Deep Learning (Python, C, C++, Java, Scala, Go), A PyTorch implementation of the YOLO v3 object detection algorithm, Code for the paper "Jukebox: A Generative Model for Music", Create Anime Characters with MakeGirlsMoe, Introduction to Deep Neural Networks with Keras and Tensorflow, [CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach, Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet, A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…, End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow, Semantic Segmentation Architectures Implemented in PyTorch, Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …, PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation, A pytorch implementation of Detectron. Implementations of basic RL algorithms with minimal lines of codes! ZheC/Realtime_Multi-Person_Pose_Estimation, keras_Realtime_Multi-Person_Pose_Estimation, michalfaber/keras_Realtime_Multi-Person_Pose_Estimation. GitHub is a code hosting platform for version control and collaboration. Sticker Generator. Since it is based on reinforcement learning, the project doesn’t require data for training purposes. Github mirror of official SVN repository. A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules". The world’s leading tech companies open source their projects on GitHub GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]. PyTorch implementation of Super SloMo by Jiang et al. (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning. A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Snowflake shape is for Deep Learning projects, round for other projects. Other Deep Learning Projects. It has a comprehensive ecosystem of tools, libraries and community resources that lets researchers create the state-of-the-art in ML. A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4, Tacotron 2 - PyTorch implementation with faster-than-realtime inference, Siamese and triplet networks with online pair/triplet mining in PyTorch, DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral, This is code of book "Learn Deep Learning with PyTorch", Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts. The "Python Machine Learning (2nd edition)" book code repository and info resource. A repo for data science related questions and answers, 人像卡通化探索项目 (photo-to-cartoon translation project). A collection of infrastructure and tools for research in neural network interpretability. A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities, Natural Language Processing Best Practices & Examples, An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks, A TensorFlow implementation of DeepMind's WaveNet paper, StyleGAN2 - Official TensorFlow Implementation, Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBo…, Cool links & research papers related to Machine Learning applied to source code (MLonCode), This repository contains the source code for the paper First Order Motion Model for Image Animation, Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）, Statistical Machine Intelligence & Learning Engine, Run Keras models in the browser, with GPU support using WebGL. 10 Free New Resources for Enhancing Your Understanding of Deep Learning. Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. Top 50 Awesome Deep Learning Projects GitHub. github.com. 一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project. The Natural Language Decathlon: A Multitask Challenge for NLP, An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row), Source-to-Source Debuggable Derivatives in Pure Python, A tiny, friendly, strong pytorch implement of person re-identification baseline. However, training the model is just one part of shipping a deep learning project. NVIDIA’s WaveGlow. Runs on single machine, Hadoop, Spark, Flink and DataFlow, Clone a voice in 5 seconds to generate arbitrary speech in real-time, 《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。, OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation. GAN, VAE in Pytorch and Tensorflow. In this article, we will let you know some interesting machine learning projects in python with code in Github. Individual Projects 1. Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet, Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019), Reformer, the efficient Transformer, in Pytorch, PyTorch ,ONNX and TensorRT implementation of YOLOv4. https://arxiv.org/pdf/1703.10593.pdf. Scikit-learn leverages the Python scientific computing stack, built on NumPy, SciPy, and matplotlib. Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment. Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference. use cnn recognize captcha by tensorflow. Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. MTCNN face detection implementation for TensorFlow, as a PIP package. Deep Learning Tutorial notes and code. Deep Learning Projects. Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. If nothing happens, download the GitHub extension for Visual Studio and try again. Companion Jupyter notebooks for the book "Deep Learning with Python" This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python (Manning Publications).Note that the original text of the book features far more content than you will find in these notebooks, in particular further explanations and figures. A YOLO demo to detect raccoon run entirely in brower is accessible at. Contribute to Drowsiness_Detection development by creating an account on GitHub.
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